3D Wavelet Subbands Mixing for Image Denoising
Open Access
- 8 April 2008
- journal article
- research article
- Published by Hindawi Limited in International Journal of Biomedical Imaging
- Vol. 2008, 1-11
- https://doi.org/10.1155/2008/590183
Abstract
A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. The method proposed in this paper is a fully automatic 3D blockwise version of the nonlocal (NL) means filter with wavelet subbands mixing. The proposed wavelet subbands mixing is based on a multiresolution approach for improving the quality of image denoising filter. Quantitative validation was carried out on synthetic datasets generated with the BrainWeb simulator. The results show that our NL-means filter with wavelet subbands mixing outperforms the classical implementation of the NL-means filter in terms of denoising quality and computation time. Comparison with wellestablished methods, such as nonlinear diffusion filter and total variation minimization, shows that the proposed NL-means filter produces better denoising results. Finally, qualitative results on real data are presented.Keywords
This publication has 14 references indexed in Scilit:
- An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance ImagesIEEE Transactions on Medical Imaging, 2008
- Adaptive Spatio-Temporal Restoration for 4D Fluorescence Microscopic ImagingLecture Notes in Computer Science, 2005
- A Review of Image Denoising Algorithms, with a New OneMultiscale Modeling & Simulation, 2005
- On the origin of the bilateral filter and ways to improve itIEEE Transactions on Image Processing, 2002
- Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Adaptive Weights Smoothing with Applications to Image RestorationJournal of the Royal Statistical Society Series B: Statistical Methodology, 2000
- Design and construction of a realistic digital brain phantomIEEE Transactions on Medical Imaging, 1998
- Nonlinear total variation based noise removal algorithmsPhysica D: Nonlinear Phenomena, 1992
- Residual variance and residual pattern in nonlinear regressionBiometrika, 1986
- Digital image smoothing and the sigma filterComputer Vision, Graphics, and Image Processing, 1983